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50.4
TFLOPS
27
Alireza Hajebrahimi
iarata
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https://hajebrahimi.com
arataeb
iarata
AI & ML interests
Meta-Learning, Few-shot Learning, Character Recognition, Diffusion Models
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10 days ago
๐ฅ ๐๐ผ๐ผ๐ด๐น๐ฒ ๐ฟ๐ฒ๐น๐ฒ๐ฎ๐๐ฒ๐ ๐๐ฒ๐บ๐ถ๐ป๐ถ ๐ฎ.๐ฌ, ๐๐๐ฎ๐ฟ๐๐ถ๐ป๐ด ๐๐ถ๐๐ต ๐ฎ ๐๐น๐ฎ๐๐ต ๐บ๐ผ๐ฑ๐ฒ๐น ๐๐ต๐ฎ๐ ๐๐๐ฒ๐ฎ๐บ๐ฟ๐ผ๐น๐น๐ ๐๐ฃ๐ง-๐ฐ๐ผ ๐ฎ๐ป๐ฑ ๐๐น๐ฎ๐๐ฑ๐ฒ-๐ฏ.๐ฒ ๐ฆ๐ผ๐ป๐ป๐ฒ๐! And they start a huge effort on agentic capabilities. ๐ The performance improvements are crazy for such a fast model: โฃ Gemini 2.0 Flash outperforms the previous 1.5 Pro model at twice the speed โฃ Now supports both input AND output of images, video, audio and text โฃ Can natively use tools like Google Search and execute code โก๏ธ If the price is on par with previous Flash iteration ($0.30 / M tokens, to compare with GPT-4o's $1.25) the competition will have a big problem with this 4x cheaper model that gets better benchmarks ๐คฏ ๐ค What about the agentic capabilities? โฃ Project Astra: A universal AI assistant that can use Google Search, Lens and Maps โฃ Project Mariner: A Chrome extension that can complete complex web tasks (83.5% success rate on WebVoyager benchmark, this is really impressive!) โฃ Jules: An AI coding agent that integrates with GitHub workflows I'll be eagerly awaiting further news from Google! Read their blogpost here ๐ https://blog.google/technology/google-deepmind/google-gemini-ai-update-december-2024/
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iarata/PHCR-DB25
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